Nasal Lymphoma Presenting With Contralateral Proptosis and Vision Changes: A Case Report and Literature Review
Bibliographic record
Abstract
Non-Hodgkin lymphoma (NHL) is a hematological malignancy that can sometimes originate from the nasal cavities and paranasal sinuses. Patients who present with these tumors typically report sinonasal symptoms. However, a diagnostic challenge can arise when a patient's primary complaints include unique complex symptoms limited to the contralateral side of the tumor. This report describes the case of an 83-year-old man who presented to our center with a left-sided mass and right-sided proptosis with vision loss. After a nasal biopsy was taken, the patient was referred to the ophthalmology department to diagnose the cause of his ocular symptoms, which were not believed to be related to the mass. When biopsy results later returned as diffuse large B-cell lymphoma (DLBCL), an emergent repeat biopsy following lymphoma protocol was performed to confirm the diagnosis. A CT scan of the head and orbits showed generalized enlargement of the right optic nerve and extraocular muscles, and a positron emission tomography (PET) scan showed increased 18F-fluorodeoxyglucose (FDG) uptake in the right ethmoid sinus and orbit. The left-sided mass and right-sided symptoms resolved simultaneously with chemotherapy. This is the first documented case of a sinonasal mass causing ocular symptoms exclusively on the contralateral side. The presented diagnostic challenge highlights the importance of thorough investigations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".